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ALL ABOUT ARTIFICIAL INTELLIGENCE

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ALL ABOUT ARTIFICIAL INTELLIGENCE

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Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.

Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.
The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it".
This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.

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ALL ABOUT ARTIFICIAL INTELLIGENCE

  1. 1. ALL ABOUT ARTIFICIAL INTELLIGENCE KIRAN MANDRAWADKAR
  2. 2. Artificial Intelligence • Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. • The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it". • This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence.
  3. 3. What is AI for normal layman? • In layman's term, Artificial Intelligence is giving the abilities to a machine for performing a task that reduces human effort. • This ability is given with the help of programming tools and techniques that we created for incorporating the machine with the potentiality of accomplishing work without human interference.
  4. 4. What are the types and benefits of Artificial Intelligence
  5. 5. Types of Artificial Intelligence 1. Narrow AI: It is a AI which is able to perform a dedicated task with intelligence. The most common and currently available AI is Narrow AI in the world of Artificial intelligence. 2. General AI: It is a type of intelligence which could perform any intellectual task with efficiency like a human. 3. Super AI: It is a level of Intelligence of Systems at which machines could surpass human intelligence, and can perform any task better than human with cognitive properties. It is an outcome of general AI.
  6. 6. Types of Artificial Intelligence 1. Reactive Machines: These machines only focus on current scenarios and react on it as per possible best action. 2. Limited Memory: It can store past experience or some data for a short period of time. These machines can use stored data for a limit time period only. 3. Theory of Mind: It should understand the human emotions, people, beliefs, and be able to interact socially like humans. It still not developed. 4. Self-Awareness: This machines will be smarter than human mind. It does exist still in reality and hypothetical concept.
  7. 7. Benefits of Artificial intelligence • New Inventions • Smart Decision Making • Enhanced customer experience • Medical Advances • Research and data analysis • Solving complex problems • Managing repetitive task • Minimizing errors
  8. 8. e-Commerce • E-commerce (electronic commerce) is the buying and selling of goods and services, or the transmitting of funds or data, over an electronic network, primarily the internet. • These business transactions occur either as business-to-business (B2B), business-to-consumer (B2C), consumer-to-consumer or consumer-to-business.
  9. 9. Is AI meant only for eCommerce ? • E-commerce retailers are increasingly turning towards chatbots or digital assistants to provide 24×7 support to their online shoppers. • Built using AI technologies, chatbots are getting more intuitive and are enabling a better customer experience. Provide personalized or targeted offers to customers. • The use of artificial intelligence in online shopping is transforming the E-commerce industry by predicting shopping patterns based on the products that shoppers buy and when they buy them.
  10. 10. Ways To Use Artificial Intelligence In eCommerce. • Create customer-centric search. • Retarget potential customers. • Identify exceptional target prospects. • Empower store workers. • Improve recommendations for customers. • Introduce virtual personal shoppers. • Work with intelligent agents. • Bridge the gap between personalization and privacy.
  11. 11. AI in Automobile Industry • The use of AI in vehicle manufacturing helps automakers reduce manufacturing costs and provides a safer and more efficient factory floor. • Technologies such as Computer Vision enables easy identification of product anomalies. • ML algorithms can be utilized for prototyping products and simulation. • AI-powered solutions can collect and process enormous amounts of vehicle data, provide actionable insights, and increase privacy and data security. • AI powers autonomous driving, allowing the real-time recognition of objects around the vehicle, enhancing maintenance and fleet management.
  12. 12. Use of AI in Auto Mobile Industry • Increased safety of the driver. • Reduced failures due to consistent quality control. • Refined driving experience. • Lesser probability of equipment failure. • Rise in productivity due to robot-human collaboration. • Better project management. • Improved after-sales support components going into cars and trucks.
  13. 13. AI in Retail Industry • AI helps retailers improve demand forecasting, make pricing decisions, and optimize product placement. • As a result, customers connect with the right products, in the right place, at the right time. Predictive analytics can help you order the right amount of stock so that stores won't end up with too much or too little. • Stores are also using AI and advanced algorithms to understand what a customer might be interested in based on things like demographic data, social media behavior, and purchase patterns. • Using this data, they can further improve the shopping experience and personalized service, both online and in stores.
  14. 14. Use of AI in Retail industry • Captivate Customers • Create Exciting Experience • Create Insights from Disparate Data • Synchronize Offline & Online Retail • Empower Flexible Logistics Networks
  15. 15. AI in Travel Industry • AI, travelers no longer need to visit travel agencies to book flights or search for accommodation. • AI assistants and Intelligent chatbots have now taken the place of travel agents allowing travelers to book flights and accommodation and hire vehicles online. • AI in travel and tourism is being used to predict travel choices, personalize services, complete bookings and manage in-trip and post-trip needs. • A travel app for iPhones, combined AI with human agents to provide assistance for hotel bookings, flight schedules and advice on restaurants.
  16. 16. Use of AI in Travel Industry • AI Assistants For Travel Booking • Robots For Face-to-Face Customer Services • AI-Driven Applications For Flight Forecasting • Smart Baggage Handling • Personalized Travel Planning • Room Mapping + Dynamic Price Tracking
  17. 17. AI in Banking Industry • AI powered systems can appraise customer credit histories more accurately to avoid this level of default. • Mobile banking apps track financial transactions and analyze user data. This helps banks anticipate the risks associated with issuing loans, such as customer insolvency or the threat of fraud. • The banking sector extensively uses AI and ML to automate processes and make them easier. • A few major use-cases where these emerging technologies used are: AI and ML for fraud detection: Theft, fraud, and security penetrate the banking area because of the sensitive information and cash.
  18. 18. Use of AI in Banking industry • Mobile banking • AI Chat Bots • Data collection and analysis • Risk management • Transaction Data Enrichment • Data security
  19. 19. AI in Real Estate Industry • “As futuristic as it sounds, artificial intelligence is already here,” says Inman’s technology correspondent Jim Dalrymple. • “Thousands of agents and homeowners are already using it, and many more are influenced by the invisible calculations AI makes behind the scenes. • Bots, in some form or another, are literally determining everything from home prices to the color of paint would-be buyers see in listing photos. • With all eyes on AI, it’s clear that this technology will impact the future of real estate in a big way. • Real estate companies are increasingly using artificial intelligence in every aspect of buying, selling and home financing. • Algorithms can now go through millions of documents in seconds, looking through property values, debt levels, home renovations, and even some of a homeowner's personal information.
  20. 20. Use of AI in Real Estate Industry • Predicting property prices • Key applications • Property analysis and recommendation
  21. 21. Will Artificial Intelligence enhance the customer experience. 1. Offer proactive and personalized customer service. 2. Improve lead generation. 3. Generate data-driven customer insights. 4. Customize content. 5. Streamline workflows. 6. Prevent employee burnout.
  22. 22. AI changing customer Experience for Ecommerce Buyers • By using AI, eCommerce sites are able to create personalized online experiences and recommend products uniquely suited to each shopper. • Personalized marketing using AI has proven successful for companies like Amazon and Netflix, who were early adopters of the technology. • The internet provides consumers with an unprecedented amount of information and options, but it also makes conversions harder for businesses, due to abundant options and price matching. With AI, businesses can use algorithms to gain insight into the wants and needs of the consumer.
  23. 23. • A company’s online reputation can make or break their business. • A customer can rate their experience, and they can take a photo of a product and share it with others or tweet it. • Ecommerce might not have control over customer behavior, but what they can control is building the best online brand. • Customer experience is a new way of marketing. • A brand is defined by those who experiences. Meeting customer demands is crucial for a memorable ecommerce experience. AI changing customer Experience for Ecommerce Buyers
  24. 24. • AI customer experience creates hyper- relevant digital ads • AI customer experience powers personalized search • AI customer experience helps customers find the best price • AI customer experience provides immediate answers to customer questions • AI customer experience anticipates and prevents issues • AI customer experience empowers customers to get 24/7 support across every channel • AI customer experience eliminates the hassle of returns AI changing customer Experience for Ecommerce Buyers
  25. 25. Will AI be affecting/replacing the roles of customer services and sales teams. • AI, in it’s various incarnations, gives customer service departments the ability to do more, thus improving the customer experience. • Chatbots, for example, can handle multiple queries at once. • This saves time and manpower, as well as helps the customer address issues more efficiently. • Artificial intelligence (AI) and customer relationship management (CRM) software are paving the path to that future. • Together, the technologies can automate routine tasks, freeing up human agents and providing them with data-driven insights to help swiftly resolve customer problems.
  26. 26. • Gain real-time insights across all customer contact channels. • Optimize agent availability, wait times, and opportunities for proactive service delivery. • Automatically escalate and classify cases using sensitivity and domain expertise predictive analytics. • Power chatbots to deliver knowledge using automated workflows. • Enable field agents to deliver service based on access to CRM data. • Deliver personalized services anywhere. • Optimize scheduling and routing using complete CRM data. Will AI be affecting/replacing the roles of customer services and sales teams.
  27. 27. Sony – Neural Network Libraries available in open source • Sony has made available in open source its “Neural Network Libraries” which serve as framework for creating deep learning programmes for AI. • Software engineers and designers can use these core libraries free of charge to develop deep learning programmes and incorporate them into their products and services. • This shift to open source is also intended to enable the development community to further build on the core libraries’ programmes. • Deep learning refers to a form of machine learning that uses neural networks modelled after the human brain.
  28. 28. Intel – AI for cardiology treatment • Precision medicine for cancers requires the delivery of individually-adapted medical care based on the genetic characteristics of each patient. • The last decade witnessed the development of high- throughput technologies such as next-generation sequencing, which paved their way in the field of oncology. • While the cost of these technologies decreases, we are facing an exponential increase in the amount of data produced. • In order to open the access to more and more patients to precision medicine-based therapies, healthcare providers have to rationalise both their data production and utilisation and this requires the implementation of the cuttingedge technology of high-performance computing and artificial intelligence.
  29. 29. Philips – AI in clinics and hospitals • With the clinical introduction of digital pathology, pioneered by Philips, it has become possible to implement more efficient pathology diagnostic workflows. • This can help pathologists to streamline diagnostic processes, connect a team, even remotely, to enhance competencies and maximise use of resources, unify patient data for informed decision-making, and gain new insights by turning data into knowledge. • Philips is working with PathAI to build deep learning applications. By analysing massive pathology data sets, we are developing algorithms aimed at supporting the detection of specific types of cancer and that inform treatment decisions.
  30. 30. • One of Vodafone’s implementations is Julia, a digital employee who resides on the Vodafone website. Developed using the resources of just three content managers, Julia is the trustworthy, reliable employee that customers turn to for personalized, round the clock support with a wide range of issues. • Equipped with the intelligence to learn, reason and understand, and then apply this knowledge to real customer interactions, Julia not only assists customers with a range of tasks from technical support to invoicing queries, but provides vital, insightful data back to Vodafone. Vodafone AI Case Study
  31. 31. Global Med Tech Company • Employing more than 90,000 people worldwide, serving physicians, hospitals and patients in over 150 countries, the company is one of the world’s largest medical technology companies. • It uses Tecno, Artificial Solutions’ award-winning conversational AI development platform, throughout its organization to enhance customer service, increase employee satisfaction and improve operational efficiencies. • With the assistance of partner Deloitte, the company uses Teneo to build advanced chatbots that span a range of use cases. • These vary from assisting patients and healthcare workers, to answering the queries of the company’s HR managers scattered across the globe.
  32. 32. Automobile AI Case Study - Tesla Car • The counterfeit of human intelligence in machine that are lined up to think like human and mock their actions. • Therefore, the word used in the present technological advance world is artificial intelligence. • The term defined by human skills and allude to be used in the future. • It is applied in various field and industries. • In the Indian market artificial intelligence is blooming like budding flower, whereas in the global Market the penetration of artificial intelligence started in 20th century. • The structural usage of artificial intelligence makes the company perform better and produce high end result. • The present advancement of technology is witnessing devices which are providing superior experience in internet on things. Mobile Applications are finding a substantial space in the market and are becoming the high choice of customers today.
  33. 33. Keywords: AI, automobile, self-start cars, high performance, Chabot, virtual assistant Objective: 1. To study the overview of tesla car manufacturing company 2. To study the concept of introducing AI in tesla automobile company. 3. To study the NLP’s (natural language processing) success for high performance in tesla cars. Methodology The paper is study from the secondary data sources using the official website, paper publication in the international journal, newspaper articles and a few other sources. Limitation: This study is limited for case study on tesla cars and use of AI.
  34. 34. Amazon Web Services AI Case Study • The clear leader in cloud computing, AWS offers both consumer and business-oriented AI products and services, and many of its professional AI services build on the Ai services available in consumer products. • Amazon Echo brings artificial intelligence into the home through the intelligent voice server, Alexa. • For AWS, the company’s primary AI services include Lex, a business version of Alexa; Polly, which turns text to speech; and Rekognition, an image recognition service.
  35. 35. Retail stores AI Case Study - Digital Shopping Assistant Abzooba: • A ‘Style BOT’ solution has been developed and made available in Facebook messenger which includes the following features: • Guided search • Natural language search – Text and Voice • Visual search • Build fashion profiles based on customer engagements • Recommend products • Provide notifications to users • Offer coupons • Chat with (human) specialist along with context passing • Business Benefits: • Net promoter score increased to 80% after the solution was deployed
  36. 36. Stay tuned for more updates/insights Kiran Mandrawadkar Director – DIGITAL (IMC) +91 9886 733 833

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